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Books on the topic 'Advanced diagnostic model'

Author: Grafiati
Published: 10 March 2023

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1

Advances in vascular medicine. London: Springer, 2010.

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2

Jelali, Mohieddine. Detection and Diagnosis of Stiction in Control Loops: State of the Art and Advanced Methods. London: Springer-Verlag London, 2010.

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3

NATO Advanced Study Institute on Advanced Modeling Techniques for Rapid Diagnosis and Assessment of CBRN Agents Effects on Water Resources (2005 Istanbul, Turkey). Assessment of the fate and effects of toxic agents on water resources: [proceedings of the NATO Advanced Study Institute on Advanced Modeling Techniques for Rapid Diagnosis and Assessment of CBRN agents effects on water resources, Istanbul, Turkey, 4-16 December 2005]. Dordrecht, the Netherlands: Springer, 2007.

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4

1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (13th : 2001 : Baden-Baden, Germany), eds. Advances in database and expert systems: Data mining and data warehousing techniques, similarity search for reusable database components, performance assessment of learning algorithms, estimation of models for expert systems, complexity evaluation of software processes, multi-agent systems, multi-agent approach to coalition formation, communication between software agents in distributed information systems, expert systems for fault diagnosis, parameter modulated fractals generators, information management in Intranet and Extranet environments. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2001.

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5

Del Giudice, Marco. Evolutionary Psychopathology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med-psych/9780190246846.001.0001.

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This book presents a unified approach to evolutionary psychopathology, and advances an integrative framework for the analysis and classification of mental disorders based on the concepts of life history theory. The framework does not aim to replace existing evolutionary models of specific disorders—which are reviewed and critically discussed in the book—but to connect them in a broader perspective and explain the large-scale patterns of risk and comorbidity that characterize psychopathology. The life history framework permits a seamless integration of mental disorders with normative individual differences in personality and cognition, and offers new conceptual tools for the analysis of developmental, genetic, and neurobiological data. The concepts synthesized in the book are used to derive a new taxonomy of mental disorders, the fast-slow-defense (FSD) model. The FSD model is the first classification system explicitly based on evolutionary concepts, a biologically grounded alternative to transdiagnostic models based on empirical correlations between symptoms. The book reviews a wide range of common mental disorders, discusses their classification in the FSD model, and identifies functional subtypes within existing diagnostic categories.
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6

Ibrahim, El-Sayed H. Heart Mechanics: Magnetic Resonance Imaging--Advanced Techniques, Clinical Applications, and Future Trends. Taylor & Francis Group, 2017.

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7

Ibrahim, El-Sayed H. Heart Mechanics: Magnetic Resonance Imaging--Advanced Techniques, Clinical Applications, and Future Trends. Taylor & Francis Group, 2017.

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8

Ibrahim, El-Sayed H. Heart Mechanics: Magnetic Resonance Imaging--Advanced Techniques, Clinical Applications, and Future Trends. Taylor & Francis Group, 2017.

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9

Ibrahim, El-Sayed H. Heart Mechanics: Magnetic Resonance Imaging--Advanced Techniques, Clinical Applications, and Future Trends. Taylor & Francis Group, 2017.

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10

Handler, Clive, Gerry Coghlan, David Abraham, and Michael Dashwood. Advances in Vascular Medicine. Springer, 2014.

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11

Handler, Clive, Gerry Coghlan, David Abraham, and Michael Dashwood. Advances in Vascular Medicine. Springer, 2010.

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12

Strakowski, Stephen, ed. The Bipolar Brain. 2nd ed. Oxford University Press, 2022. http://dx.doi.org/10.1093/med/9780197574522.001.0001.

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Bipolar disorder is the 6th leading cause of disability worldwide and causes substantial morbidity and mortality among its sufferers. The estimated costs of bipolar disorder are enormous, approaching $50 billion annually in the United States alone. The societal and personal suffering caused by this condition is immeasurable. Nonetheless, despite its public health significance, bipolar disorder remains difficult to diagnosis and complicated to manage. A major factor contributing to these difficulties is that there is no established neurophysiological model for bipolar disorder. Such a model might provide objective measures for diagnosis, as well as physiological parameters to monitor and predict treatment response. Since the first edition of this text, neuroimaging and genetic techniques continue to advance new leads toward clarifying the neurophysiological basis of bipolar illness. In the absence of meaningful animal models of this uniquely human condition, neuroimaging has truly revolutionized the study of bipolar disorder. Moreover, because bipolar disorder is clearly familial, genetic studies are critical to define the complex molecular basis of the condition. Consequently, we are at a point in which integration of neuroimaging and genetic findings is possible and may position us to identify these very neurophysiological models needed to support the next generation of research. The goal of this 2nd edition is to provide an updated review of neuroimaging and genetic research in bipolar disorder to provide a model of illness that might inform future studies. We hope that the reader finds it useful.
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13

Traber, J. Senile Dementia of Alzheimer Type: Early Diagnosis, Neuropathology and Animal Models (Advances in Applied Neurological Sciences, Vol 2). Springer, 1985.

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14

Medical modeling: The application of advanced design and development techniques in medicine. CRC, 2006.

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15

Chaira, Tamalika. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques. Taylor & Francis Group, 2015.

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16

Chaira, Tamalika. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques. Taylor & Francis Group, 2015.

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17

Joseph, Lisa, Sarah Spence, and Audrey Thurm. Autism and Autism Spectrum Disorders: Clinical Overview. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199744312.003.0002.

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Autism spectrum disorders (otherwise known as pervasive developmental disorders) are neurodevelopmental conditions characterized by impairments in reciprocal social interaction and communication, and the presence of restricted and repetitive behaviors. In order to provide a framework for appreciating the advances that basic science and model systems have made to the field, this chapter will outline the behaviorally defining features of the disorder and describe the phenotype of autism. We will present the current diagnostic conceptualization and criteria for autism spectrum disorders, discuss the diagnostic assessment process, explore frequently co-occurring problems in individuals with autism, and introduce various types of treatments that are frequently employed in this population.
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18

Huang, Biao, and Mohieddine Jelali. Detection and Diagnosis of Stiction in Control Loops: State of the Art and Advanced Methods. Springer, 2012.

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19

Charney, Dennis S., Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum, eds. Charney & Nestler's Neurobiology of Mental Illness. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.001.0001.

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In the years following publication of the DSM-5, the field of psychiatry has seen vigorous debate between the DSM’s more traditional, diagnosis-oriented approach and the NIMH’s more biological, dimension-based RDoC approach. Charney & Nestler’s Neurobiology of Mental Illness is an authoritative foundation for translating information from the laboratory to clinical treatment, and this edition extends beyond its reference function to acknowledge and examine the controversies and thoughts on the future of psychiatric diagnosis. In this wider context, this book provides information from numerous levels of analysis including molecular biology and genetics, cellular physiology, neuroanatomy, neuropharmacology, epidemiology, and behavior. Section I, which reviews the methods used to examine the biological basis of mental illness in animal and cell models and in humans, has been expanded to reflect important technical advances in complex genetics, epigenetics, stem cell biology, optogenetics, neural circuit functioning, cognitive neuroscience, and brain imaging. These established and emerging methodologies offer groundbreaking advances in our ability to study the brain and breakthroughs in our therapeutic toolkit. Sections II through VII cover the neurobiology and genetics of major psychiatric disorders: psychoses, mood disorders, anxiety disorders, substance use disorders, dementias, and disorders of childhood onset. Also covered within these sections is a summary of current therapeutic approaches for these illnesses as well as the ways in which research advances are now guiding the search for new treatments. The last section, Section VIII, focuses on diagnostic schemes for mental illness. This includes an overview of the unique challenges that remain in diagnosing these disorders given our still limited knowledge of disease etiology and pathophysiology. The section then provides reviews of DSM-5 and RDoC. Also included are chapters on future efforts toward precision and computational psychiatry, which promise to someday align diagnosis with underlying biological abnormalities.
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20

Neufeld, Richard W. J. Advances in Clinical Cognitive Science: Formal Modeling of Processes And Symptoms. American Psychological Association (APA), 2007.

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21

Radford, Mark. Pre-operative assessments and preparation. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199642663.003.0004.

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Advances in surgery have been combined with innovation in anaesthesia techniques. Chapter 3 highlights the increasingly flexible models of surgical care delivery and the role of the nurse in these care settings. Preparation prior to surgery is increasingly being delivered by nurses in the pre-operative phase of care. The knowledge requirements of the nurse in this field are complex, involving a greater understanding of applied physiology and pharmacology, pre-operative testing methods, and assessment modalities. This chapter guides the nurse in the assessment process, choice of diagnostic tests, and preparation of the patient physically and psychologically for surgery.
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22

Advances in clinical cognitive science: Formal modeling of processes and symptoms. Washington, DC: American Psychological Association, 2007.

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23

Huang, Yukon. China’s Unbalanced Growth. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190630034.003.0004.

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Most observers have criticized China’s growth model as internally unbalanced, defined by its exceptionally low share of consumption to GDP and commensurately high share of investment in GDP, and externally unbalanced in generating huge trade surpluses mirrored by large trade deficits in the United States and Europe. Many theories have been advanced to explain China’s “twin” imbalances. They focus on distorted prices and excessive savings, but none have highlighted the critical role of urbanization and labor migration. China’s internal imbalances can be seen as the byproduct of a generally successful urbanization-cum-industrialization process rather than a risk. If the diagnosis is wrong, then the resulting policy prescriptions also warrant questioning. With appropriate structural reforms to increase productivity and a more efficient urbanization process, rebalancing will eventually occur without the need to artificially prop up personal consumption.
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24

Davies, Will, Julian Savulescu, Rebecca Roache, and J. Pierre Loebel, eds. Psychiatry Reborn: Biopsychosocial psychiatry in modern medicine. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198789697.001.0001.

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Psychiatry Reborn: Biopsychosocial Psychiatry in Modern Medicine is a comprehensive collection of essays by leading experts in the field, and provides a timely reassessment of the biopsychosocial approach in psychiatry. Spanning the sciences and philosophy of psychiatry, the essays offer complementary perspectives on the ever more urgent importance of the biopsychosocial approach to modern medicine. The collection brings together ideas from the series of Loebel Lectures by world leaders in the field of psychiatry and associated Workshops at the University of Oxford, including revised versions of the Lectures themselves, and a wide range of related commentaries and position pieces. With contributions from psychiatry, psychology, neuroscience, and philosophy, the book provides the most comprehensive account to date of the interplay between biological, psychological, and social factors in mental health and their ethical dimensions. The 23 chapters of this multi-authored book review the history and place of the biopsychosocial model in medicine, and explore its strengths and shortcomings. In particular, the book considers how understanding this interplay might lead to more effective treatments for mental health disorders as developments in genomic and other neurobiological medicine challenge traditional conceptions and approaches to the research and treatment of mental health disorders. The book explores the challenges and rewards of developing diagnostic tools and clinical interventions that take account of the inextricably intertwined biopsychosocial domains, and the ethical implications of the conceptualization. It concludes with chapters drawing together the book’s range of expertise to propose a best conception of the model, and how it might be adopted going forward in an age of exponentially increasing technological advances and of integrated/collaborative care. The volume is intended to present the biopsychosocial model as it stands today in the academy, the laboratory, and the clinic, and to start to address the challenges and potential that the model has for each.
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25

Guo, Yong, and Claudia F. Lucchinetti. Taking a Microscopic Look at Multiple Sclerosis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199341016.003.0005.

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The pathology of multiple sclerosis is complex, extends beyond the white matter plaque, and is influenced by stage of demyelinating activity, clinical course, disease duration, and treatment. Technological advances in immunology, molecular biology, and “omic” biology have provided novel insights into the mechanisms for development of white matter plaques, axonal damage, cortical demyelination, and disease progression. Detailed, systematic, and statistically rigorous pathological studies on clinically well-characterized MS cohorts have helped define the heterogeneous pathological substrates of MS and unravel the complex molecular pathogenic mechanisms, with the ultimate goal of identifying targets for therapeutic interventions. It is increasingly clear that the use of human tissues is imperative to improve current diagnostic, prognostic, and therapeutic modalities. Preclinical animal models have been invaluable for discovery of key immune processes, basic disease mechanisms, and candidate immune targeting strategies, but the conclusions have yet be reconciled with the essential features of the human disease.
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26

Arens, Katherine. Wilhelm Griesinger. Edited by K. W. M. Fulford, Martin Davies, Richard G. T. Gipps, George Graham, John Z. Sadler, Giovanni Stanghellini, and Tim Thornton. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199579563.013.0006.

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This chapter outlines Wilhelm Griesinger's model of the etiology, symptomology, and treatment of mental diseases as a politically activist and scientifically empiricist reading of German Idealist traditions, combining the therapeutics of modern medical practice (including pathology, neurology, anatomy, and medical chemistry) with the kind of Left Hegelian demands on praxis that will emerge in Marx's work. Griesinger (1817-1868) is remembered today as an innovator in medicine and psychiatry who pointed the way for modern-day psychiatric clinical practice, to advances in neuropathology, and to modern strategies for the diagnostics and treatment of mental diseases. Yet his ground-breaking textbookMental Pathology and Therapeuticswas heavily influenced by idealist philosophy in the traditions of Johann Friedrich Herbart and Georg W. F. Hegel. Griesinger situates his own work at the juncture between and clinical or medical psychology and university psychology, what his translators refer to as "medico-metaphysics," a scientific metaphysics of the mind. His project documents a reception of German Idealism stressing nurture, social transformation, and somatic knowledge rather than cognitivism, and provides evidence for a scientific paradigm accommodating induction from material evidence as well as deduction from premises.
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27

Youngstrom, Eric, and Anna Van Meter. Comorbidity of Bipolar Disorder and Depression. Edited by C. Steven Richards and Michael W. O'Hara. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199797004.013.003.

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There has been speculation about the relationship between depression and mania for centuries. Modern psychiatry and psychology have mostly viewed these as different subtypes within a “family” of mood disorders. Conceptual models of comorbidity provide an opportunity to re-examine the association between depression and other pathological mood states. We examine the evidence pertaining to rates of “comorbidity,” which, in this case, refer to the lifetime occurrence of depression and hypomanic, mixed, or manic episodes in the same individual. We explore factors that could contribute to artifactual comorbidity. We also examine data pertaining to similarities or differences in phenomenology, longitudinal course, associated features, family history, and treatment response. Multiple factors are likely involved in the comorbidity of depression and hypomania or mania, and the problems of poor reliability and inconsistent diagnostic definitions and methodology attenuate the significance of most research findings. However, evidence appears sufficient to conclude that not all depression is on the bipolar spectrum, that bipolar features moderate the course and outcome of depressive illness, and that depression and bipolar disorder most likely involve a blend of some shared and some specific mechanisms. Research and clinical work both will advance substantially by more systematically assessing for potential bipolar features “comorbid” with depression and following how these factors change the trajectory of depression over time.
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